Output_llama3_80-20

Ahatsham/Output_llama3_80-20

Output_llama3_80-20 is a machine learning model from Ahatsham. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: llama3
Access: Public
Created: Feb 26, 2025
Updated: Feb 28, 2025
SHA: 90ca7aba

Base models

meta-llama/Meta-Llama-3-8B

Model card

From the Hugging Face model README

Output_llama3_80-20

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6274
Balanced Accuracy: 0.6563
Accuracy: 0.6615

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Balanced Accuracy	Accuracy
No log	1.0	96	0.6857	0.5462	0.5625
No log	2.0	192	0.6684	0.5758	0.5833
No log	3.0	288	0.7167	0.6384	0.6198
No log	4.0	384	0.6335	0.6179	0.625
No log	5.0	480	0.6574	0.6297	0.5990
0.6776	6.0	576	0.6322	0.6168	0.625
0.6776	7.0	672	0.6374	0.6114	0.6094
0.6776	8.0	768	0.6261	0.6278	0.6354
0.6776	9.0	864	0.6289	0.6651	0.6406
0.6776	10.0	960	0.6082	0.6368	0.6406
0.5732	11.0	1056	0.6036	0.6553	0.6615
0.5732	12.0	1152	0.6445	0.6870	0.6510
0.5732	13.0	1248	0.6094	0.6833	0.6875
0.5732	14.0	1344	0.6104	0.6607	0.6667
0.5732	15.0	1440	0.6553	0.6960	0.6927
0.5144	16.0	1536	0.6262	0.6603	0.6510
0.5144	17.0	1632	0.6154	0.6619	0.6667
0.5144	18.0	1728	0.6210	0.6619	0.6667
0.5144	19.0	1824	0.6293	0.6716	0.6771
0.5144	20.0	1920	0.6274	0.6563	0.6615

Framework versions

PEFT 0.10.0
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.20.3

Library: peft
License: llama3
Created: Feb 26, 2025
Updated: Feb 28, 2025